How to Analyze, Measure, Reduce, and Recover Shopping Cart Abandonment

I’m always surprised when I meet a client with an online checkout process and how few have tried to purchase from their own site! One of our new clients had a site they invested a ton of money into, and it’s five steps to get from the product page to the shopping cart. It’s a miracle that anyone is making it that far!

Businesses potentially lose $18 billion in revenue annually due to cart abandonment!

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What is Shopping Cart Abandonment?

It may sound like an elementary question, but you must recognize that shopping cart abandonment is not every visitor exiting your e-commerce site; that’s referred to as browse abandonment. Shopping cart abandonment is only the visitors who added a product to the shopping cart and did not complete the purchase in that session.

Shopping cart abandonment occurs when a potential customer starts the checkout process for an online purchase but drops out before completing the transaction. This phenomenon is a critical metric for e-commerce businesses to monitor, as it directly impacts sales and revenue.

Cart abandonment and checkout abandonment are two closely related concepts in e-commerce, but they pinpoint different stages where a potential customer drops off from the purchasing process.

The main difference lies in the stage of the shopping process and the level of buyer’s commitment. Cart abandonment is about losing the customer before they have decided to buy, while checkout abandonment is about losing them after they’ve made a decision to buy but are deterred by the process.

Mobile devices see an average 66% abandonment rate and desktop experiences a 73% abandonment rate.

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Why Do Consumers Abandon Shopping Carts?

Here’s a bulleted list of reasons for cart abandonment in order of importance according to the infographic below:

  1. Unexpected Costs: Additional charges such as shipping, taxes, and fees that are not disclosed until the checkout process.
  2. Total Cost Shock: Customers may be surprised by the total cost of items when added up within the cart.
  3. Payment Issues: Problems with the customer’s preferred payment method or the site’s payment gateway.
  4. Comparison Shopping: Customers may leave items in their carts to compare prices on other websites.
  5. Lack of Trust: Concerns about site security or the handling of personal data can deter customers from completing purchases.
  6. Complex Checkout Process: A checkout process that is too long or complicated can frustrate customers into abandoning their carts.
  7. Poor Mobile Optimization: A website that is difficult to navigate or interact with on mobile devices can lead to abandonment.

Checkout abandonment occurs at a rate of 85% on mobile.

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  1. Technical Issues: Glitches, crashes, or slow loading times can prevent customers from completing their purchases.
  2. Unexpected Interruptions: External factors, such as phone calls or required sign-ups, interrupt the shopping process.
  3. Lack of Remarketing Strategies: Failing to remind customers of their abandoned carts or to encourage them to complete the purchase.

By understanding and analyzing the reasons behind cart abandonment, businesses can implement strategies to reduce it, such as simplifying the checkout process, offering competitive pricing, improving website usability, and providing clear and upfront information on shipping costs and return policies.d

How to Calculate Your Shopping Cart Abandonment Rate

The formula for Shopping Cart Abandonment Rate:

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How to Analyze Shopping Cart Abandonment in Google Analytics 4

In Google Analytics 4 (GA4), analyzing cart and checkout abandonment rates involves a combination of event tracking, funnel analysis, and audience segmentation.

Here’s how you can approach this analysis and troubleshoot potential issues:

  1. Set Up E-commerce Tracking: Ensure that e-commerce tracking is properly set up on your website. This includes sending events to GA4 when users add items to their cart (add_to_cart event) and when they start the checkout process (begin_checkout event).
  2. Create Conversion Events: Define the ‘purchase’ event as a conversion in GA4. This will allow you to measure the end-to-end conversion process and identify at which stage users are dropping off.
  3. Analyze Funnels: Use the Funnel Exploration tool in GA4 to create a funnel for your e-commerce process.
    • Construct a funnel with the following steps: User visits site > User adds product to cart > User begins checkout > User completes purchase.
    • This visual representation will show you where the drop-offs are occurring, enabling you to pinpoint whether it’s at the cart or checkout stage.
  4. Segment Your Audience: Break down your funnel data by user characteristics, such as demographics, device type, or traffic source. This can help you identify patterns in abandonment rates – for example, if they’re higher on mobile devices, suggesting a need for better mobile optimization.
  5. Monitor User Behavior: Use Event counts to see how often add_to_cart and begin_checkout events are triggered compared to ‘purchase’ events.
    • Review User flow reports to understand the paths taken by users who abandon their carts or checkout.
  6. Troubleshoot with Detailed Reports:
    • Analyze the E-commerce Purchase Funnel report to see the conversion and drop-off rates between each stage of the funnel.
    • Check the Item List Performance report to see if specific products have higher abandonment rates, which could indicate issues with those items.
  7. Use Audience Insights: Create audiences based on the add_to_cart and begin_checkout events but exclude those who have triggered the purchase event. Then, use the Audience Insights feature to analyze the behavior and characteristics of users who abandon their carts or checkout.
  8. Implement Enhanced Measurement: If you enable Enhanced Measurement in GA4, you can automatically track scrolls, outbound clicks, site search, video engagement, and file downloads, which might give additional context to why users are abandoning their carts or checkout.

How To Analyze Shopper Behavior Using Microsoft Clarity

Microsoft Clarity and Google Analytics 4 (GA4) offer complementary insights into user behavior, each with unique tools that can enhance a website’s performance when used in tandem. Clarity excels in providing qualitative data through visual tools like session recordings and heatmaps, allowing website owners to observe actual user interactions, such as mouse movements, clicks, and scrolls. This insight can reveal the why behind user behaviors that lead to cart and checkout abandonment, filling in the gaps left by quantitative data. By integrating the macro-level insights from GA4 with the micro-level user behavior details from Clarity, businesses gain a holistic understanding of their website performance.

Utilizing both platforms allows for a powerful combination of what is happening on a site and why it’s happening, enabling data-driven decisions that can significantly improve user experience and conversion rates. Here’s how Clarity can help:

Using these insights, you can make data-driven decisions to optimize your website and reduce abandonment rates. For instance, if session recordings show that users are abandoning their carts after being presented with unexpected shipping costs, you might consider displaying shipping costs earlier in the shopping process. If heatmaps show that users are not clicking on the checkout button, you might test making it more prominent on the page.

Strategies to Reduce and Recover Abandoned Shopping Carts

Businesses can tackle the common reasons for cart abandonment and encourage customers to return to their carts and complete their purchases with the following strategies.

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